On Fri, Jan 8, 2021 at 10:21 AM Andrea Gavana <andrea.gavana@gmail.com> wrote:
Dear SciPy Developers & Users,
long time no see :-) . I thought to start 2021 with a bit of a bang, to try and forget how bad 2020 has been... So I am happy to present you with a revamped version of the Global Optimization Benchmarks from my previous exercise in 2013.
Hi Andrea, this is awesome! Thanks for sharing! This could be really useful to link to and use as a guide for providing recommendations for solvers to use in the scipy.optimize tutorials. It's good to see that SciPy overall is much more competitive than it was in 2013. Overall it seems SHGO is our most accurate solver, and making it faster seems worthwhile. That shouldn't be very difficult, given that it's all pure Python still. MCS isn't open source, but both DIRECT and BiteOpt are MIT-licensed and seem the best candidates to be considered for inclusion in SciPy. If you have recommendations or takeaways from all this work for SciPy, I'd love to hear them. Cheers, Ralf